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Expansion and Validation of a Predictive Model for the Growth of Bacillus Stearothermophilus in Military Rations
Author(s) -
Ng T.M.,
Viard E.,
Caipo M.L.,
Duffy S.,
Schaffner D.W.
Publication year - 2002
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.2002.tb08739.x
Subject(s) - exponential growth , food science , predictive modelling , bacterial growth , chromatography , chemistry , biology , mathematics , statistics , bacteria , mathematical analysis , genetics
Predictive models for the exponential growth rate (EGR) and germination, outgrowth, and lag times (GOL) of Bacillus stearothermophilus previously developed in our laboratory were expanded to include higher salt (1.5%) formulations. The expanded models were validated in 7 military meals‐ready‐to‐eat incubated at temperatures from 45 °C to 60 °C, and tryptic soy broth incubated from 37.5 °C to 70 °C. The 95% prediction intervals for EGR were fail‐safe in all the military rations tested. The 95% prediction intervals for GOL were failsafe in 5 of the 7 rations. The TSB results illustrate the dangers of using empirical models to predict microbial behavior outside the range of conditions under which the models were developed.

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